| Invy vs Bryan | 80–55 | 59.26% |
| Invy vs Kazuya | 63–56 | 52.94% |
| Invy vs Hwoarang | 63–47 | 57.27% |
| Invy vs King | 58–45 | 56.31% |
| Invy vs Jin | 56–40 | 58.33% |
| Invy vs Reina | 39–35 | 52.70% |
| Invy vs Yoshimitsu | 33–39 | 45.83% |
| Invy vs Dragunov | 32–40 | 44.44% |
| Invy vs Law | 27–44 | 38.03% |
| Invy vs Lee | 27–39 | 40.91% |
| Invy vs Lili | 32–25 | 56.14% |
| Invy vs Steve | 33–22 | 60.00% |
| Invy vs Paul | 25–28 | 47.17% |
| Invy vs Asuka | 23–28 | 45.10% |
| Invy vs Xiaoyu | 20–25 | 44.44% |
| Invy vs Lars | 24–21 | 53.33% |
| Invy vs Jun | 13–27 | 32.50% |
| Invy vs Leo | 22–17 | 56.41% |
| Invy vs Devil Jin | 20–18 | 52.63% |
| Invy vs Nina | 21–17 | 55.26% |
| Invy vs Heihachi | 12–26 | 31.58% |
| Invy vs Feng | 13–20 | 39.39% |
| Invy vs Victor | 15–18 | 45.45% |
| Invy vs Lidia | 18–15 | 54.55% |
| Invy vs Azucena | 14–17 | 45.16% |
| Invy vs Eddy | 16–15 | 51.61% |
| Invy vs Leroy | 14–16 | 46.67% |
| Invy vs Claudio | 14–13 | 51.85% |
| Invy vs Alisa | 10–16 | 38.46% |
| Invy vs Raven | 13–11 | 54.17% |
| Invy vs Zafina | 11–9 | 55.00% |
| Invy vs Clive | 4–14 | 22.22% |
| Invy vs Jack-8 | 12–5 | 70.59% |
| Invy vs Shaheen | 7–10 | 41.18% |
| Invy vs Panda | 10–6 | 62.50% |
| Invy vs Kuma | 8–6 | 57.14% |
| Invy vs Anna | 5–7 | 41.67% |
| Invy vs Fahkumram | 5–4 | 55.56% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.